Popular GitHub Repositories for Betti Curves

Simulation of path planning for self-driving vehicles in Unity. This is also an implementation of the Hybrid A* pathfinding algorithm which is useful if you are interested in pathfinding for vehicles.

:sparkles: A plotter for reinforcement learning (RL)

?? Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatments from observational data using neural networks.

Parametric differentiable curves with PyTorch for continuous embeddings, shape-restricted models, or KANs

Point Projection On Parametric Curves / Trajectory Maps for Autonomous Driving

Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"

End-to-end sentiment analysis of tweets using BERT. Includes preprocessing, training, and evaluation with classification reports, confusion matrices, ROC curves, and word clouds. Demonstrates fine-tuning of transformer models for text classification with modular, reproducible code.

Using R and machine learning to build a classifier that can detect credit card fraudulent transactions.

Code to generate G_seg, G_pos and G_app images from "Example-Based Synthesis of Stylized Facial Animations" by JAKUB FI?ER et al.

Temporal memory system for AI assistants with human-like forgetting curves. All data stored locally in human-readable formats: JSONL for short-term memory, Markdown (Obsidian-compatible) for long-term. Memories naturally decay unless reinforced. Features knowledge graphs, smart prompting, and MCP server integration for Claude.

A transparent PyTorch micro-framework for pragmatic research code. Comes with a terminal-based IDE for stateful and iterative debugging.

Find out if there are new planets using Deep Learning

Temporal memory system for AI assistants with human-like forgetting curves. All data stored locally in human-readable formats: JSONL for short-term memory, Markdown (Obsidian-compatible) for long-term. Memories naturally decay unless reinforced. Features knowledge graphs, smart prompting, and MCP server integration for Claude.

? Experiment tracking for TensorFlow/Keras. Log, organize, and compare model metrics, learning curves, hyperparameters, dataset versions, and more.

Functional Latent datA Models for clusterING heterogeneOus curveS

A Welding Anomaly Detection system using unsupervised Machine Learning and statistical analysis to identify anomalies in welding process curves.

ML-FinFraud-Detector is a machine learning project for detecting financial transaction fraud. Utilizing XGBoost, precision-recall, and ROC curves, it provides accurate fraud detection. Explore feature importance, evaluate model performance, and enhance financial security with this comprehensive fraud detection solution.

An AI project that uses Differentiable Architecture Search (DARTS) to automatically design an optimized CNN for cervical cancer cell classification using the SIPaKMeD dataset. Compares the NAS-discovered model against a ResNet baseline across accuracy, F1-score, model size, inference time, and visualizations like confusion matrices and ROC curves.

A micro JS library for building SVG bezier paths from an arrays of points.

This project day-trades options using an advanced ensemble model. It applies Functional Data Analysis (FDA) to model entire price, momentum, and IV smile curves as features, capturing their shape. The model's predictions then guide a Reinforcement Learning agent, which learns the optimal risk parameters for each trade.